Engineering Manager - Backend Development
- Compensation
- Not disclosed
- Location
- Pune
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Backend
- Posted
Skills
Full description
About the Role :
We are looking for an experienced and hands-on Engineering Manager to lead high-performing engineering teams and drive the delivery of scalable, enterprise-grade software solutions. This role combines technical leadership, people management, architecture ownership, and cross-functional collaboration.
As an Engineering Manager, you will play a key role in building engineering culture, mentoring developers, driving execution excellence, and contributing to strategic technology decisions. The ideal candidate has strong backend engineering expertise in Java-based ecosystems, experience managing teams, and a passion for building reliable, cloud-native platforms.
Exposure to emerging AI engineering practices, including GenAI tools and Agentic AI systems, will be considered a strong advantage.
Key Responsibilities :
- Lead and mentor a team of 5 - 10 software engineers across one or more product areas.
- Own end-to-end delivery of large-scale, high-impact engineering initiatives.
- Collaborate closely with Product Managers, Designers, QA, DevOps, and business stakeholders to define and execute product roadmaps.
- Drive engineering excellence through architecture reviews, code reviews, best practices, and process improvements.
- Participate in hands-on development and technical problem-solving when required.
- Design and guide scalable distributed systems, microservices, and cloud-native applications.
- Ensure software quality, system reliability, performance optimization, and timely delivery.
- Conduct regular 1:1s, performance reviews, career development discussions, and team engagement initiatives.
- Support hiring, onboarding, and scaling of engineering teams.
- Identify and resolve technical bottlenecks, operational risks, and production issues.
- Drive Agile delivery processes, CI/CD adoption, and DevOps best practices.
- Evaluate and enable adoption of AI-driven engineering productivity tools and Agentic AI frameworks for intelligent automation.
Required Qualifications :
- 10+ years of software development experience with strong backend engineering expertise.
- Minimum 2+ years of experience managing or leading engineering teams.
- Strong experience in :
- Java
- Spring Boot
- REST APIs
- Microservices Architecture
- Distributed Systems
- Hands-on experience with cloud platforms, preferably AWS.